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ocn808991411 |
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OCoLC |
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20240909213021.0 |
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120829s2012 nyu foa 001 0 eng d |
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|a 818116319
|a 837594929
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|a 9781606494356
|q (electronic bk.)
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|q (electronic bk.)
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|q (pbk.)
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7 |
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|a 10.4128/9781606494356
|2 doi
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|a (OCoLC)808991411
|z (OCoLC)818116319
|z (OCoLC)837594929
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| 037 |
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|a CL0500000209
|b Safari Books Online
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| 037 |
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|a B7FA3B3F-1A92-4BCE-822B-8478BF46D491
|b OverDrive, Inc.
|n http://www.overdrive.com
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| 050 |
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4 |
|a QA278.2
|b .W557 2012
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| 072 |
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7 |
|a MAT
|x 029030
|2 bisacsh
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Wilson, J. Holton,
|d 1942-
|1 https://id.oclc.org/worldcat/entity/E39PCjDfG77WhXgrCrXYtftBT3
|
| 245 |
1 |
0 |
|a Regression analysis :
|b understanding and building business and economic models using Excel /
|c J. Holton Wilson, Barry P. Keating, and Mary Beal-Hodges.
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| 250 |
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|a 1st ed.
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| 260 |
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|a [New York, N.Y.] (222 East 46th Street, New York, NY 10017) :
|b Business Expert Press,
|c 2012.
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| 300 |
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|a 1 online resource (179 pages)
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Quantitative approaches to decision making collection,
|x 2163-9582
|
| 500 |
|
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|a Title from PDF title page (viewed August 29, 2012).
|
| 500 |
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|a Part of: 2012 digital library.
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| 500 |
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|a Includes index.
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| 505 |
0 |
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|a 1. Background issues for regression analysis -- 2. Introduction to regression analysis -- 3. The ordinary least squares (OLS) regression model -- 4. Evaluation of ordinary least squares (OLS) regression models -- 5. Point and interval estimates from a regression model -- 6. Multiple linear regression -- 7. A market share multiple regression model -- 8. Qualitative events and seasonality in multiple regression models -- 9. Nonlinear regression models -- 10. Abercrombie & amp; Fitch Co. regression case study -- 11. The formal ordinary least squares (OLS) regression model -- Appendix. Some statistical background -- Index.
|
| 520 |
3 |
|
|a This book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. It is especially useful for those engaged in working with numbers - preparing forecasts, budgeting, estimating the effects of business decisions, and any of the forms of analytics that have recently become so useful.
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| 630 |
0 |
0 |
|a Microsoft Excel (Computer file)
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| 630 |
0 |
7 |
|a Microsoft Excel (Computer file)
|2 fast
|
| 650 |
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0 |
|a Regression analysis.
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| 650 |
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0 |
|a Econometric models.
|
| 650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x Regression Analysis.
|2 bisacsh
|
| 650 |
|
7 |
|a Econometric models
|2 fast
|
| 650 |
|
7 |
|a Regression analysis
|2 fast
|
| 700 |
1 |
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|a Keating, Barry P.
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| 700 |
1 |
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|a Beal-Hodges, Mary.
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| 710 |
2 |
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|a Business Expert Press.
|
| 776 |
0 |
8 |
|i Print version:
|z 9781606494349
|
| 830 |
|
0 |
|a 2012 digital library.
|
| 830 |
|
0 |
|a Quantitative approaches to decision making collection.
|x 2163-9582
|
| 830 |
|
0 |
|a Business Expert Press digital library.
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1048404
|y Click for online access
|
| 903 |
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|a EBC-AC
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| 994 |
|
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|a 92
|b HCD
|